Python development and data engineering

We reach for Python in two situations: when an application has to ship quickly with a complete administrative toolset, and when the project involves data, statistics or artificial intelligence models.

Web applications

Django ships with authentication, an admin panel, an ORM and migrations, so a working internal system appears in weeks rather than months. FastAPI is the choice for APIs with performance requirements and strict data validation.

Data and reporting

• Collecting data from mixed sources: databases, CSV files, APIs, email.

• Cleaning and normalisation, with documented and verifiable rules.

• Computing business indicators and delivering them to a dashboard.

• Reports sent automatically, on a fixed schedule, to the right people.

• Data quality checks that flag anomalies before someone makes a decision on bad numbers.

Python and AI

The Python ecosystem is where language models, vector databases and text processing libraries meet. This is where we build document extraction, semantic search and evaluation of generated answers.

Internal automation

Many quick wins need no product at all, just a well-written script that runs every night: invoice reconciliation, price updates, stock synchronisation, document generation.